Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) - page 8.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

During the period from 24/1/2018 to 28/4/2020 (last 3 days dropped due to incomplete week, 2020w18 and an incomplete day - dayid = 829), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively.

List of the top 50-highest day in terms of intra-day merits:

Code:

     +-----------------------------------------------------------------------------+
     | rank_max   merit   dayid        date        dofw      week     month   year |
     |-----------------------------------------------------------------------------|
  1. |        1   12676       2   25jan2018    Thursday    2018w4    2018m1   2018 |
  2. |        2    6348       3   26jan2018      Friday    2018w4    2018m1   2018 |
  3. |        3    5515     668   22nov2019      Friday   2019w47   2019m11   2019 |
  4. |        4    4889     667   21nov2019    Thursday   2019w47   2019m11   2019 |
  5. |        5    4627       4   27jan2018    Saturday    2018w4    2018m1   2018 |
     |-----------------------------------------------------------------------------|
  6. |        6    4103       8   31jan2018   Wednesday    2018w5    2018m1   2018 |
  7. |        7    3826     665   19nov2019     Tuesday   2019w47   2019m11   2019 |
  8. |        8    3804       7   30jan2018     Tuesday    2018w5    2018m1   2018 |
  9. |        9    3343       6   29jan2018      Monday    2018w5    2018m1   2018 |
 10. |       10    3240       5   28jan2018      Sunday    2018w4    2018m1   2018 |
     |-----------------------------------------------------------------------------|
 11. |       11    2797      23   15feb2018    Thursday    2018w7    2018m2   2018 |
 12. |       12    2793       9   01feb2018    Thursday    2018w5    2018m2   2018 |
 13. |       13    2783     664   18nov2019      Monday   2019w46   2019m11   2019 |
 14. |       14    2621      10   02feb2018      Friday    2018w5    2018m2   2018 |
 15. |       15    2584     666   20nov2019   Wednesday   2019w47   2019m11   2019 |
     |-----------------------------------------------------------------------------|
 16. |       16    2553     237   17sep2018      Monday   2018w38    2018m9   2018 |
 17. |       17    2476      11   03feb2018    Saturday    2018w5    2018m2   2018 |
 18. |       18    2374     661   15nov2019      Friday   2019w46   2019m11   2019 |
 19. |       19    2367      15   07feb2018   Wednesday    2018w6    2018m2   2018 |
 20. |       20    2263      13   05feb2018      Monday    2018w6    2018m2   2018 |
     |-----------------------------------------------------------------------------|
 21. |       21    2223      17   09feb2018      Friday    2018w6    2018m2   2018 |
 22. |       22    2059      16   08feb2018    Thursday    2018w6    2018m2   2018 |
 23. |       23    2003      14   06feb2018     Tuesday    2018w6    2018m2   2018 |
 24. |       24    1807     238   18sep2018     Tuesday   2018w38    2018m9   2018 |
 25. |       25    1793      19   11feb2018      Sunday    2018w6    2018m2   2018 |
     |-----------------------------------------------------------------------------|
 26. |       26    1790      12   04feb2018      Sunday    2018w5    2018m2   2018 |
 27. |       27    1740      24   16feb2018      Friday    2018w7    2018m2   2018 |
 28. |       28    1727      39   03mar2018    Saturday    2018w9    2018m3   2018 |
 29. |       29    1630     660   14nov2019    Thursday   2019w46   2019m11   2019 |
 30. |       30    1590     669   23nov2019    Saturday   2019w47   2019m11   2019 |
     |-----------------------------------------------------------------------------|
 31. |       31    1589      26   18feb2018      Sunday    2018w7    2018m2   2018 |
 32. |       32    1585     662   16nov2019    Saturday   2019w46   2019m11   2019 |
 33. |       33    1580      22   14feb2018   Wednesday    2018w7    2018m2   2018 |
 34. |       34    1475      20   12feb2018      Monday    2018w7    2018m2   2018 |
 35. |       35    1465     678   02dec2019      Monday   2019w48   2019m12   2019 |
     |-----------------------------------------------------------------------------|
 36. |       36    1442      28   20feb2018     Tuesday    2018w8    2018m2   2018 |
 37. |       37    1431      25   17feb2018    Saturday    2018w7    2018m2   2018 |
 38. |       38    1414      35   27feb2018     Tuesday    2018w9    2018m2   2018 |
 39. |       39    1390      57   21mar2018   Wednesday   2018w12    2018m3   2018 |
 40. |       40    1377     663   17nov2019      Sunday   2019w46   2019m11   2019 |
     |-----------------------------------------------------------------------------|
 41. |       41    1372      33   25feb2018      Sunday    2018w8    2018m2   2018 |
 42. |       42    1364     755   17feb2020      Monday    2020w7    2020m2   2020 |
 43. |       43    1347     239   19sep2018   Wednesday   2018w38    2018m9   2018 |
 44. |       44    1345      38   02mar2018      Friday    2018w9    2018m3   2018 |
 45. |       45    1334      18   10feb2018    Saturday    2018w6    2018m2   2018 |
     |-----------------------------------------------------------------------------|
 46. |       46    1316      49   13mar2018     Tuesday   2018w11    2018m3   2018 |
 47. |       47    1302      36   28feb2018   Wednesday    2018w9    2018m2   2018 |
 48. |       48    1289      21   13feb2018     Tuesday    2018w7    2018m2   2018 |
 49. |       49    1289      27   19feb2018      Monday    2018w8    2018m2   2018 |
 50. |       50    1277      30   22feb2018    Thursday    2018w8    2018m2   2018 |
     +-----------------------------------------------------------------------------+

List of the top 50-lowest days in terms of intra-day merits:

Code:

     +-----------------------------------------------------------------------------+
     | rank_min   merit   dayid        date        dofw      week     month   year |
     |-----------------------------------------------------------------------------|
  1. |        1     300     558   04aug2019      Sunday   2019w31    2019m8   2019 |
  2. |        2     333     341   30dec2018      Sunday   2018w52   2018m12   2018 |
  3. |        3     339     343   01jan2019     Tuesday    2019w1    2019m1   2019 |
  4. |        4     347     299   18nov2018      Sunday   2018w46   2018m11   2018 |
  5. |        5     347     330   19dec2018   Wednesday   2018w51   2018m12   2018 |
     |-----------------------------------------------------------------------------|
  6. |        6     351     334   23dec2018      Sunday   2018w51   2018m12   2018 |
  7. |        7     366     218   29aug2018   Wednesday   2018w35    2018m8   2018 |
  8. |        8     367     565   11aug2019      Sunday   2019w32    2019m8   2019 |
  9. |        9     370     223   03sep2018      Monday   2018w36    2018m9   2018 |
 10. |       10     373     339   28dec2018      Friday   2018w52   2018m12   2018 |
     |-----------------------------------------------------------------------------|
 11. |       11     375     340   29dec2018    Saturday   2018w52   2018m12   2018 |
 12. |       12     377     600   15sep2019      Sunday   2019w37    2019m9   2019 |
 13. |       13     378     566   12aug2019      Monday   2019w32    2019m8   2019 |
 14. |       14     378     567   13aug2019     Tuesday   2019w33    2019m8   2019 |
 15. |       15     378     305   24nov2018    Saturday   2018w47   2018m11   2018 |
     |-----------------------------------------------------------------------------|
 16. |       16     380     192   03aug2018      Friday   2018w31    2018m8   2018 |
 17. |       17     381     336   25dec2018     Tuesday   2018w52   2018m12   2018 |
 18. |       18     385     215   26aug2018      Sunday   2018w34    2018m8   2018 |
 19. |       19     385     327   16dec2018      Sunday   2018w50   2018m12   2018 |
 20. |       20     391     221   01sep2018    Saturday   2018w35    2018m9   2018 |
     |-----------------------------------------------------------------------------|
 21. |       21     394     188   30jul2018      Monday   2018w31    2018m7   2018 |
 22. |       22     399     593   08sep2019      Sunday   2019w36    2019m9   2019 |
 23. |       23     401     557   03aug2019    Saturday   2019w31    2019m8   2019 |
 24. |       24     401     288   07nov2018   Wednesday   2018w45   2018m11   2018 |
 25. |       25     402     263   13oct2018    Saturday   2018w41   2018m10   2018 |
     |-----------------------------------------------------------------------------|
 26. |       26     404     229   09sep2018      Sunday   2018w36    2018m9   2018 |
 27. |       27     406     277   27oct2018    Saturday   2018w43   2018m10   2018 |
 28. |       28     408     530   07jul2019      Sunday   2019w27    2019m7   2019 |
 29. |       29     409     123   26may2018    Saturday   2018w21    2018m5   2018 |
 30. |       30     409     589   04sep2019   Wednesday   2019w36    2019m9   2019 |
     |-----------------------------------------------------------------------------|
 31. |       31     410     279   29oct2018      Monday   2018w44   2018m10   2018 |
 32. |       32     411     578   24aug2019    Saturday   2019w34    2019m8   2019 |
 33. |       33     411     569   15aug2019    Thursday   2019w33    2019m8   2019 |
 34. |       34     414     528   05jul2019      Friday   2019w27    2019m7   2019 |
 35. |       35     421     193   04aug2018    Saturday   2018w31    2018m8   2018 |
     |-----------------------------------------------------------------------------|
 36. |       36     425     588   03sep2019     Tuesday   2019w36    2019m9   2019 |
 37. |       37     426     346   04jan2019      Friday    2019w1    2019m1   2019 |
 38. |       38     426     230   10sep2018      Monday   2018w37    2018m9   2018 |
 39. |       39     427     141   13jun2018   Wednesday   2018w24    2018m6   2018 |
 40. |       40     430     207   18aug2018    Saturday   2018w33    2018m8   2018 |
     |-----------------------------------------------------------------------------|
 41. |       41     432     587   02sep2019      Monday   2019w35    2019m9   2019 |
 42. |       42     435     522   29jun2019    Saturday   2019w26    2019m6   2019 |
 43. |       43     436     419   18mar2019      Monday   2019w11    2019m3   2019 |
 44. |       44     440     559   05aug2019      Monday   2019w31    2019m8   2019 |
 45. |       45     440     585   31aug2019    Saturday   2019w35    2019m8   2019 |
     |-----------------------------------------------------------------------------|
 46. |       46     440     265   15oct2018      Monday   2018w42   2018m10   2018 |
 47. |       47     441     404   03mar2019      Sunday    2019w9    2019m3   2019 |
 48. |       48     441     319   08dec2018    Saturday   2018w49   2018m12   2018 |
 49. |       49     442     278   28oct2018      Sunday   2018w43   2018m10   2018 |
 50. |       50     442     342   31dec2018      Monday   2018w52   2018m12   2018 |
     +-----------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Time-series plots:
Full dataset:

Truncated dataset:

Basic statistics (for full dataset):
Only drop last 3 days that belong to the 2020w18 (daydi = 827, 828), the incomplete week & incomlete day (dayid = 829).

Code:

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |       826   791.977  654.9271       668       560       823       300     12676
----------------------------------------------------------------------------------------------

Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 166 or 1218.

Code:

. di 823-560
263

. di 263*1.5
394.5

. di 823+394.5
1217.5

. di 560-394.5
165.5

There are 54 outliers (beyond 1218 or 166) in full dataset, in total.

Code:

. count if (merit >= 1218 | merit <= 166) & merit != .
  55

Those days are:

Code:

     +---------------------------+
     | dayid   merit        date |
     |---------------------------|
  2. |     2   12676   25jan2018 |
  3. |     3    6348   26jan2018 |
  4. |     4    4627   27jan2018 |
  5. |     5    3240   28jan2018 |
  6. |     6    3343   29jan2018 |
  7. |     7    3804   30jan2018 |
  8. |     8    4103   31jan2018 |
  9. |     9    2793   01feb2018 |
 10. |    10    2621   02feb2018 |
 11. |    11    2476   03feb2018 |
 12. |    12    1790   04feb2018 |
 13. |    13    2263   05feb2018 |
 14. |    14    2003   06feb2018 |
 15. |    15    2367   07feb2018 |
 16. |    16    2059   08feb2018 |
 17. |    17    2223   09feb2018 |
 18. |    18    1334   10feb2018 |
 19. |    19    1793   11feb2018 |
 20. |    20    1475   12feb2018 |
 21. |    21    1289   13feb2018 |
 22. |    22    1580   14feb2018 |
 23. |    23    2797   15feb2018 |
 24. |    24    1740   16feb2018 |
 25. |    25    1431   17feb2018 |
 26. |    26    1589   18feb2018 |
 27. |    27    1289   19feb2018 |
 28. |    28    1442   20feb2018 |
 30. |    30    1277   22feb2018 |
 31. |    31    1249   23feb2018 |
 33. |    33    1372   25feb2018 |
 35. |    35    1414   27feb2018 |
 36. |    36    1302   28feb2018 |
 38. |    38    1345   02mar2018 |
 39. |    39    1727   03mar2018 |
 49. |    49    1316   13mar2018 |
 51. |    51    1224   15mar2018 |
 57. |    57    1390   21mar2018 |
237. |   237    2553   17sep2018 |
238. |   238    1807   18sep2018 |
239. |   239    1347   19sep2018 |
240. |   240    1221   20sep2018 |
     |---------------------------|
429. |   429    1247   28mar2019 |
505. |   505    1227   12jun2019 |
660. |   660    1630   14nov2019 |
661. |   661    2374   15nov2019 |
662. |   662    1585   16nov2019 |
663. |   663    1377   17nov2019 |
664. |   664    2783   18nov2019 |
665. |   665    3826   19nov2019 |
666. |   666    2584   20nov2019 |
667. |   667    4889   21nov2019 |
668. |   668    5515   22nov2019 |
669. |   669    1590   23nov2019 |
678. |   678    1465   02dec2019 |
     |---------------------------|
755. |   755    1364   17feb2020 |
     +---------------------------+

Distributions of outliers over years:

2018: 41 (74.6%)
2019: 13 (23.6%)
2020: 1 (1.8%)

logfiles

copper member

Activity: 2198

Merit: 1837

🌀 Cosmic Casino

Quote

Oh good, tranthidung bumping even more useless stats! I bet most of the forum have you ignored by now.

Tell you what? You do care. It's funny that you can't even figure it out.
If you didn't care about the topic then your sorry ass wouldn't be here moaning.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Converted dataset:

In 2020 ^{at 01may2020 02:51:51 (GMT time)}
The last one, with dayid = 829 is an incomplete day.

Code:

+-----------------------------------------------------------------+
| dayid date merit dofw week month year |
|-----------------------------------------------------------------|
708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 |
709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 |
710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 |
711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 |
712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 |
|-----------------------------------------------------------------|
713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 |
714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 |
715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 |
716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 |
717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 |
|-----------------------------------------------------------------|
718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 |
719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 |
720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 |
721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 |
722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 |
724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 |
725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 |
726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 |
727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 |
729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 |
730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 |
731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 |
732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 |
|-----------------------------------------------------------------|
733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 |
734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 |
735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 |
736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 |
737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 |
|-----------------------------------------------------------------|
738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 |
739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 |
740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 |
741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 |
742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 |
|-----------------------------------------------------------------|
743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 |
744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 |
745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 |
746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 |
747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 |
|-----------------------------------------------------------------|
748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 |
749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 |
750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 |
751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 |
752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 |
|-----------------------------------------------------------------|
753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 |
754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 |
755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 |
756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 |
757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 |
759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 |
760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 |
761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 |
762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 |
764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 |
765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 |
766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 |
767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 |
|-----------------------------------------------------------------|
768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 |
769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 |
770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 |
771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 |
772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 |
774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 |
775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 |
776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 |
777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 |
779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 |
780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 |
781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 |
782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 |
|-----------------------------------------------------------------|
783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 |
784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 |
785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 |
786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 |
787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 |
|-----------------------------------------------------------------|
788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 |
789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 |
790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 |
791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 |
792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 |
794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 |
795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 |
796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 |
797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 |
799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 |
800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 |
801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 |
802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 |
|-----------------------------------------------------------------|
803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 |
804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 |
805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 |
806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 |
807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 |
809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 |
810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 |
811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 |
812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 |
814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 |
815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 |
816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 |
817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 |
|-----------------------------------------------------------------|
818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 |
819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 |
820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 |
821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 |
822. | 822 24apr2020 706 Friday 2020w17 2020m4 2020 |
|-----------------------------------------------------------------|
823. | 823 25apr2020 639 Saturday 2020w17 2020m4 2020 |
824. | 824 26apr2020 663 Sunday 2020w17 2020m4 2020 |
825. | 825 27apr2020 654 Monday 2020w17 2020m4 2020 |
826. | 826 28apr2020 490 Tuesday 2020w17 2020m4 2020 |
827. | 827 29apr2020 795 Wednesday 2020w18 2020m4 2020 |
|-----------------------------------------------------------------|
828. | 828 30apr2020 983 Thursday 2020w18 2020m4 2020 |
829. | 829 01may2020 27 Friday 2020w18 2020m5 2020 |
+-----------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

ABSTRACT ^{2020w16, GMT time}

Data is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w17 and an incomplete day (dayid = 822). Details on days dropped, please see above posts.

Intra-day merits:

Total observed days: 819
Potential outliers are days that have intraday total merits beyond 162 or 1222
Median of intraday merits over the period is 668
50% of observed days have their intra-day merits range from 559 to 824 (the interquartile range)
In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
There are 54 potential outliers (beyond 162 or 1222) in total.
The distribution of outliers over years are: 40 (74.1%) for 2018, 13 (24.1%) for 2019, and 1 (1.8%) for 2020. (see details)
Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.

Intra-week merits:

Total observed weeks: 117
The median of intra-week merits is 4650
50% of observed weeks (117 weeks in total), have total merits in the range from 4209 to 5596 (the interquartile range of intra-week merits).
Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
9 potential outliers [beyond 2129 or 7677], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them ocurred in 2020.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Intra-week merits (from 24/1/2018 to 21/4/2020)
Last 3 days dropped due to incomplete week (2020w17) and an incomplete day (dayid = 822)

Converted dataset:

Code:

+-----------------+
   | merit week |
   |-----------------|
  1. | 27920 2018w4 |
  2. | 20930 2018w5 |
  3. | 14042 2018w6 |
  4. | 11901 2018w7 |
  5. | 8879 2018w8 |
   |-----------------|
  6. | 9005 2018w9 |
  7. | 7178 2018w10 |
  8. | 7340 2018w11 |
  9. | 7138 2018w12 |
10. | 6392 2018w13 |
   |-----------------|
11. | 6542 2018w14 |
12. | 5946 2018w15 |
13. | 4449 2018w16 |
14. | 4820 2018w17 |
15. | 5043 2018w18 |
   |-----------------|
16. | 4685 2018w19 |
17. | 4431 2018w20 |
18. | 3903 2018w21 |
19. | 4248 2018w22 |
20. | 4473 2018w23 |
   |-----------------|
21. | 3953 2018w24 |
22. | 4574 2018w25 |
23. | 4684 2018w26 |
24. | 4367 2018w27 |
25. | 4109 2018w28 |
   |-----------------|
26. | 4277 2018w29 |
27. | 3809 2018w30 |
28. | 3489 2018w31 |
29. | 4199 2018w32 |
30. | 3767 2018w33 |
   |-----------------|
31. | 3763 2018w34 |
32. | 3186 2018w35 |
33. | 3536 2018w36 |
34. | 3586 2018w37 |
35. | 9587 2018w38 |
   |-----------------|
36. | 4508 2018w39 |
37. | 4325 2018w40 |
38. | 3981 2018w41 |
39. | 4424 2018w42 |
40. | 4386 2018w43 |
   |-----------------|
41. | 3321 2018w44 |
42. | 4175 2018w45 |
43. | 4047 2018w46 |
44. | 4606 2018w47 |
45. | 3791 2018w48 |
   |-----------------|
46. | 3596 2018w49 |
47. | 3689 2018w50 |
48. | 3615 2018w51 |
49. | 3687 2018w52 |
50. | 4584 2019w1 |
   |-----------------|
51. | 6102 2019w2 |
52. | 5776 2019w3 |
53. | 4582 2019w4 |
54. | 4408 2019w5 |
55. | 4505 2019w6 |
   |-----------------|
56. | 4259 2019w7 |
57. | 4314 2019w8 |
58. | 4726 2019w9 |
59. | 4979 2019w10 |
60. | 4295 2019w11 |
   |-----------------|
61. | 4690 2019w12 |
62. | 5728 2019w13 |
63. | 4695 2019w14 |
64. | 5253 2019w15 |
65. | 4880 2019w16 |
   |-----------------|
66. | 4260 2019w17 |
67. | 4817 2019w18 |
68. | 5002 2019w19 |
69. | 5596 2019w20 |
70. | 4693 2019w21 |
   |-----------------|
71. | 4342 2019w22 |
72. | 4597 2019w23 |
73. | 5373 2019w24 |
74. | 4629 2019w25 |
75. | 4672 2019w26 |
   |-----------------|
76. | 3882 2019w27 |
77. | 4462 2019w28 |
78. | 4005 2019w29 |
79. | 4377 2019w30 |
80. | 3603 2019w31 |
   |-----------------|
81. | 3346 2019w32 |
82. | 3965 2019w33 |
83. | 3811 2019w34 |
84. | 3579 2019w35 |
85. | 3683 2019w36 |
   |-----------------|
86. | 4005 2019w37 |
87. | 4382 2019w38 |
88. | 4348 2019w39 |
89. | 4209 2019w40 |
90. | 4701 2019w41 |
   |-----------------|
91. | 5160 2019w42 |
92. | 5375 2019w43 |
93. | 4816 2019w44 |
94. | 4753 2019w45 |
95. | 11070 2019w46 |
   |-----------------|
96. | 20397 2019w47 |
97. | 6271 2019w48 |
98. | 4650 2019w49 |
99. | 4832 2019w50 |
100. | 6066 2019w51 |
   |-----------------|
101. | 7058 2019w52 |
102. | 5745 2020w1 |
103. | 5395 2020w2 |
104. | 7247 2020w3 |
105. | 6646 2020w4 |
   |-----------------|
106. | 6756 2020w5 |
107. | 5573 2020w6 |
108. | 6923 2020w7 |
109. | 6314 2020w8 |
110. | 5237 2020w9 |
   |-----------------|
111. | 4622 2020w10 |
112. | 5109 2020w11 |
113. | 5603 2020w12 |
114. | 5392 2020w13 |
115. | 6061 2020w14 |
   |-----------------|
116. | 5094 2020w15 |
117. | 5052 2020w16 |
   +-----------------+

Time series plot

Basic statistics:
- 50% of observed weeks (117 weeks) have total intra-week merits above 4650, whilst the rest 50% of them have total intra-week merits below 4650. 4650 is the median - p50.
- 50% of observed weeks have total intra-week merits fluctuated in the range from 4209 to 5596(the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 3186 - 27920.

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 117.0 5552.4 3354.6 4650.0 4209.0 5596.0 3186.0 27920.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 5596-4209
1387

. di 1387*1.5
2080.5

. di 5596+2080.5
7676.5

. di 4209-2080.5
2128.5

It means that potential outliers are weeks that have intra-week merits beyond 2129 or 7677.
How many weeks are potential outliers?

Code:

. count if (merit >= 7677 | merit < 2129) & merit != .
9

9 weeks are outliers, in total.
List of those 9 weeks:

Code:

+-----------------+
   | merit week |
   |-----------------|
  1. | 27920 2018w4 |
  2. | 20930 2018w5 |
  3. | 14042 2018w6 |
  4. | 11901 2018w7 |
  5. | 8879 2018w8 |
   |-----------------|
  6. | 9005 2018w9 |
35. | 9587 2018w38 |
95. | 11070 2019w46 |
96. | 20397 2019w47 |
   +-----------------+

Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far.

List of weeks in descending weekly merits
The last week (with 5052 merits) stays at the 41^th position, among 116 weeks.

Code:

+------------------------------+
   | weeklyrank merit week |
   |------------------------------|
  1. | 1 27920 2018w4 |
  2. | 2 20930 2018w5 |
  3. | 3 20397 2019w47 |
  4. | 4 14042 2018w6 |
  5. | 5 11901 2018w7 |
   |------------------------------|
  6. | 6 11070 2019w46 |
  7. | 7 9587 2018w38 |
  8. | 8 9005 2018w9 |
  9. | 9 8879 2018w8 |
10. | 10 7340 2018w11 |
   |------------------------------|
11. | 11 7247 2020w3 |
12. | 12 7178 2018w10 |
13. | 13 7138 2018w12 |
14. | 14 7058 2019w52 |
15. | 15 6923 2020w7 |
   |------------------------------|
16. | 16 6756 2020w5 |
17. | 17 6646 2020w4 |
18. | 18 6542 2018w14 |
19. | 19 6392 2018w13 |
20. | 20 6314 2020w8 |
   |------------------------------|
21. | 21 6271 2019w48 |
22. | 22 6102 2019w2 |
23. | 23 6066 2019w51 |
24. | 24 6061 2020w14 |
25. | 25 5946 2018w15 |
   |------------------------------|
26. | 26 5776 2019w3 |
27. | 27 5745 2020w1 |
28. | 28 5728 2019w13 |
29. | 29 5603 2020w12 |
30. | 30 5596 2019w20 |
   |------------------------------|
31. | 31 5573 2020w6 |
32. | 32 5395 2020w2 |
33. | 33 5392 2020w13 |
34. | 34 5375 2019w43 |
35. | 35 5373 2019w24 |
   |------------------------------|
36. | 36 5253 2019w15 |
37. | 37 5237 2020w9 |
38. | 38 5160 2019w42 |
39. | 39 5109 2020w11 |
40. | 40 5094 2020w15 |
   |------------------------------|
41. | 41 5052 2020w16 |
42. | 42 5043 2018w18 |
43. | 43 5002 2019w19 |
44. | 44 4979 2019w10 |
45. | 45 4880 2019w16 |
   |------------------------------|
46. | 46 4832 2019w50 |
47. | 47 4820 2018w17 |
48. | 48 4817 2019w18 |
49. | 49 4816 2019w44 |
50. | 50 4753 2019w45 |
   |------------------------------|
51. | 51 4726 2019w9 |
52. | 52 4701 2019w41 |
53. | 53 4695 2019w14 |
54. | 54 4693 2019w21 |
55. | 55 4690 2019w12 |
   |------------------------------|
56. | 56 4685 2018w19 |
57. | 57 4684 2018w26 |
58. | 58 4672 2019w26 |
59. | 59 4650 2019w49 |
60. | 60 4629 2019w25 |
   |------------------------------|
61. | 61 4622 2020w10 |
62. | 62 4606 2018w47 |
63. | 63 4597 2019w23 |
64. | 64 4584 2019w1 |
65. | 65 4582 2019w4 |
   |------------------------------|
66. | 66 4574 2018w25 |
67. | 67 4508 2018w39 |
68. | 68 4505 2019w6 |
69. | 69 4473 2018w23 |
70. | 70 4462 2019w28 |
   |------------------------------|
71. | 71 4449 2018w16 |
72. | 72 4431 2018w20 |
73. | 73 4424 2018w42 |
74. | 74 4408 2019w5 |
75. | 75 4386 2018w43 |
   |------------------------------|
76. | 76 4382 2019w38 |
77. | 77 4377 2019w30 |
78. | 78 4367 2018w27 |
79. | 79 4348 2019w39 |
80. | 80 4342 2019w22 |
   |------------------------------|
81. | 81 4325 2018w40 |
82. | 82 4314 2019w8 |
83. | 83 4295 2019w11 |
84. | 84 4277 2018w29 |
85. | 85 4260 2019w17 |
   |------------------------------|
86. | 86 4259 2019w7 |
87. | 87 4248 2018w22 |
88. | 88 4209 2019w40 |
89. | 89 4199 2018w32 |
90. | 90 4175 2018w45 |
   |------------------------------|
91. | 91 4109 2018w28 |
92. | 92 4047 2018w46 |
93. | 93 4005 2019w37 |
94. | 94 4005 2019w29 |
95. | 95 3981 2018w41 |
   |------------------------------|
96. | 96 3965 2019w33 |
97. | 97 3953 2018w24 |
98. | 98 3903 2018w21 |
99. | 99 3882 2019w27 |
100. | 100 3811 2019w34 |
   |------------------------------|
101. | 101 3809 2018w30 |
102. | 102 3791 2018w48 |
103. | 103 3767 2018w33 |
104. | 104 3763 2018w34 |
105. | 105 3689 2018w50 |
   |------------------------------|
106. | 106 3687 2018w52 |
107. | 107 3683 2019w36 |
108. | 108 3615 2018w51 |
109. | 109 3603 2019w31 |
110. | 110 3596 2018w49 |
   |------------------------------|
111. | 111 3586 2018w37 |
112. | 112 3579 2019w35 |
113. | 113 3536 2018w36 |
114. | 114 3489 2018w31 |
115. | 115 3346 2019w32 |
   |------------------------------|
116. | 116 3321 2018w44 |
117. | 117 3186 2018w35 |
   +------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Medians and means of intra-day merits over days of weeks ^{GMT time}
Colors:

Green: highest.
Red: Lowest.

- In median, the highest days are Thursday , Tuesday, and Friday at 708, 707, and 704, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 608, 627, and 662, respectively.
- In means, the highest days are Thursday, Friday, and Tuesday at 913, 854, and 816, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 693, 710, and 781, respectively.

Basic statistics:

Code:

Summary for variables: merit
   by categories of: dofw

   dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   Sunday | 117.0 692.8 357.2 627.0 503.0 739.0 300.0 3240.0
   Monday | 117.0 780.6 439.9 662.0 562.0 859.0 370.0 3343.0
  Tuesday | 117.0 815.8 479.4 707.0 595.0 871.0 339.0 3826.0
Wednesday | 117.0 787.2 437.7 673.0 603.0 837.0 347.0 4103.0
Thursday | 117.0 912.8 1215.8 708.0 586.0 837.0 411.0 12676.0
   Friday | 117.0 854.0 756.9 704.0 566.0 837.0 373.0 6348.0
Saturday | 117.0 709.3 468.3 608.0 509.0 736.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
   Total | 819.0 793.2 657.6 668.0 559.0 824.0 300.0 12676.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.

Details on ranks:
In medians

Code:

+----------------------------------------------------------------------+
   | rankmedian dofw median mean p25 p75 min max |
   |----------------------------------------------------------------------|
  1. | 1 Thursday 708 912.7778 586 837 411 12676 |
  2. | 2 Tuesday 707 815.7692 595 871 339 3826 |
  3. | 3 Friday 704 854.0085 566 837 373 6348 |
  4. | 4 Wednesday 673 787.2308 603 837 347 4103 |
  5. | 5 Monday 662 780.5555 562 859 370 3343 |
   |----------------------------------------------------------------------|
  6. | 6 Sunday 627 692.829 503 739 300 3240 |
  7. | 7 Saturday 608 709.2564 509 736 375 4627 |
   +----------------------------------------------------------------------+

In means

Code:

+--------------------------------------------------------------------+
   | rankmean dofw mean median p25 p75 min max |
   |--------------------------------------------------------------------|
  1. | 1 Thursday 912.7778 708 586 837 411 12676 |
  2. | 2 Friday 854.0085 704 566 837 373 6348 |
  3. | 3 Tuesday 815.7692 707 595 871 339 3826 |
  4. | 4 Wednesday 787.2308 673 603 837 347 4103 |
  5. | 5 Monday 780.5555 662 562 859 370 3343 |
   |--------------------------------------------------------------------|
  6. | 6 Saturday 709.2564 608 509 736 375 4627 |
  7. | 7 Sunday 692.829 627 503 739 300 3240 |
   +--------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

During the period from 24/1/2018 to 21/4/2020 (last 3 days dropped due to incomplete week, 2020w17 and an incomplete day - dayid = 822), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively.

List of the top 50-highest day in terms of intra-day merits:

Code:

+-----------------------------------------------------------------------------+
| rank_max merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 |
2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 |
3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 |
4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 |
5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 |
7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 |
8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 |
9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 |
10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 |
12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 |
13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 |
14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 |
15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 |
17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 |
18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 |
19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 |
20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 |
22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 |
23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 |
24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 |
25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 |
27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 |
28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 |
29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 |
30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 |
32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 |
33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 |
34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 |
35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 |
|-----------------------------------------------------------------------------|
36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 |
37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 |
38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 |
39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 |
40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 |
|-----------------------------------------------------------------------------|
41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 |
42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 |
43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 |
44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 |
45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 |
47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 |
48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 |
49. | 49 1289 27 19feb2018 Monday 2018w8 2018m2 2018 |
50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 |
+-----------------------------------------------------------------------------+

List of the top 50-lowest days in terms of intra-day merits:

Code:

+-----------------------------------------------------------------------------+
| rank_min merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 |
2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 |
3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 |
4. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 |
5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 |
|-----------------------------------------------------------------------------|
6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 |
7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 |
8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 |
9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 |
10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 |
|-----------------------------------------------------------------------------|
11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 |
12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 |
13. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
14. | 14 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
15. | 15 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
|-----------------------------------------------------------------------------|
16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 |
17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 |
18. | 18 385 215 26aug2018 Sunday 2018w34 2018m8 2018 |
19. | 19 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 |
|-----------------------------------------------------------------------------|
21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 |
22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
23. | 23 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
|-----------------------------------------------------------------------------|
26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
29. | 29 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
30. | 30 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
|-----------------------------------------------------------------------------|
31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
32. | 32 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
33. | 33 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
|-----------------------------------------------------------------------------|
36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
|-----------------------------------------------------------------------------|
41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
44. | 44 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
45. | 45 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
|-----------------------------------------------------------------------------|
46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
47. | 47 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
48. | 48 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
49. | 49 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
50. | 50 442 342 31dec2018 Monday 2018w52 2018m12 2018 |
+-----------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Time-series plots:
Full dataset:

Truncated dataset:

Basic statistics (for full dataset):
Only drop last 3 days that belong to the 2020w17 (daydi = 820, 821), the incomplete week & incomlete day (dayid = 822).

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 819 793.2039 657.5576 668 559 824 300 12676
----------------------------------------------------------------------------------------------

Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 162 or 1222.

Code:

. di 824-559
265

. di 265*1.5
397.5

. di 824+397.5
1221.5

. di 559-397.5
161.5

There are 54 outliers (beyond 1222 or 162) in full dataset, in total.

Code:

. count if (merit >= 1222 | merit <= 162) & merit != .
54

Those days are:

Code:

+---------------------------+
   | dayid merit date |
   |---------------------------|
  2. | 2 12676 25jan2018 |
  3. | 3 6348 26jan2018 |
  4. | 4 4627 27jan2018 |
  5. | 5 3240 28jan2018 |
  6. | 6 3343 29jan2018 |
  7. | 7 3804 30jan2018 |
  8. | 8 4103 31jan2018 |
  9. | 9 2793 01feb2018 |
10. | 10 2621 02feb2018 |
11. | 11 2476 03feb2018 |
12. | 12 1790 04feb2018 |
13. | 13 2263 05feb2018 |
14. | 14 2003 06feb2018 |
15. | 15 2367 07feb2018 |
16. | 16 2059 08feb2018 |
17. | 17 2223 09feb2018 |
18. | 18 1334 10feb2018 |
19. | 19 1793 11feb2018 |
20. | 20 1475 12feb2018 |
21. | 21 1289 13feb2018 |
22. | 22 1580 14feb2018 |
23. | 23 2797 15feb2018 |
24. | 24 1740 16feb2018 |
25. | 25 1431 17feb2018 |
26. | 26 1589 18feb2018 |
27. | 27 1289 19feb2018 |
28. | 28 1442 20feb2018 |
30. | 30 1277 22feb2018 |
31. | 31 1249 23feb2018 |
33. | 33 1372 25feb2018 |
35. | 35 1414 27feb2018 |
36. | 36 1302 28feb2018 |
38. | 38 1345 02mar2018 |
39. | 39 1727 03mar2018 |
49. | 49 1316 13mar2018 |
51. | 51 1224 15mar2018 |
57. | 57 1390 21mar2018 |
237. | 237 2553 17sep2018 |
238. | 238 1807 18sep2018 |
239. | 239 1347 19sep2018 |
   |---------------------------|
429. | 429 1247 28mar2019 |
505. | 505 1227 12jun2019 |
660. | 660 1630 14nov2019 |
661. | 661 2374 15nov2019 |
662. | 662 1585 16nov2019 |
663. | 663 1377 17nov2019 |
664. | 664 2783 18nov2019 |
665. | 665 3826 19nov2019 |
666. | 666 2584 20nov2019 |
667. | 667 4889 21nov2019 |
668. | 668 5515 22nov2019 |
669. | 669 1590 23nov2019 |
678. | 678 1465 02dec2019 |
   |---------------------------|
755. | 755 1364 17feb2020 |
   +---------------------------+

Distributions of outliers over years:

2018: 40 (74.1%)
2019: 13 (24.1%)
2020: 1 (1.8%)

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Converted dataset:

In 2020 ^{at 24apr2020 02:46:56 (GMT time)}
The last one, with dayid = 822 is an incomplete day.

Code:

+-----------------------------------------------------------------+
| dayid date merit dofw week month year |
|-----------------------------------------------------------------|
708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 |
709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 |
710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 |
711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 |
712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 |
|-----------------------------------------------------------------|
713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 |
714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 |
715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 |
716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 |
717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 |
|-----------------------------------------------------------------|
718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 |
719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 |
720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 |
721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 |
722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 |
724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 |
725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 |
726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 |
727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 |
729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 |
730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 |
731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 |
732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 |
|-----------------------------------------------------------------|
733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 |
734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 |
735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 |
736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 |
737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 |
|-----------------------------------------------------------------|
738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 |
739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 |
740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 |
741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 |
742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 |
|-----------------------------------------------------------------|
743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 |
744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 |
745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 |
746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 |
747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 |
|-----------------------------------------------------------------|
748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 |
749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 |
750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 |
751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 |
752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 |
|-----------------------------------------------------------------|
753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 |
754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 |
755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 |
756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 |
757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 |
759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 |
760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 |
761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 |
762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 |
764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 |
765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 |
766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 |
767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 |
|-----------------------------------------------------------------|
768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 |
769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 |
770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 |
771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 |
772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 |
774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 |
775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 |
776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 |
777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 |
779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 |
780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 |
781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 |
782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 |
|-----------------------------------------------------------------|
783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 |
784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 |
785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 |
786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 |
787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 |
|-----------------------------------------------------------------|
788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 |
789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 |
790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 |
791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 |
792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 |
794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 |
795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 |
796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 |
797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 |
799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 |
800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 |
801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 |
802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 |
|-----------------------------------------------------------------|
803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 |
804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 |
805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 |
806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 |
807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 |
809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 |
810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 |
811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 |
812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 |
814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 |
815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 |
816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 |
817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 |
|-----------------------------------------------------------------|
818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 |
819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 |
820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 |
821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 |
822. | 822 24apr2020 85 Friday 2020w17 2020m4 2020 |
+-----------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

ABSTRACT ^{2020w15, GMT time}
Data is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w16 and an incomplete day (dayid = 815). Details on days dropped, please see above posts.

Intra-day merits:

Total observed days: 812
Potential outliers are days that have intraday total merits beyond 159 or 1225
Median of intraday merits over the period is 668
50% of observed days have their intra-day merits range from 558 to 825 (the interquartile range)
In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
There are 53 potential outliers (beyond 159 or 1225) in total.
The distribution of outliers over years are: 39 (73.6%) for 2018, 13 (24.5%) for 2019, and 1 (1.9%) for 2020. (see details)
Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.

Intra-week merits:

Total observed weeks: 116
The median of intra-week merits is 4640
50% of observed weeks (116 weeks in total), have total merits in the range from 4204 to 5600 (the interquartile range of intra-week merits).
Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
9 potential outliers [beyond 2111 or 7693], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Intra-week merits (from 24/1/2018 to 14/4/2020)
Last 3 days dropped due to incomplete week (2020w16) and an incomplete day (dayid = 815)

Converted dataset:

Code:

+-----------------+
   | merit week |
   |-----------------|
  1. | 27920 2018w4 |
  2. | 20930 2018w5 |
  3. | 14042 2018w6 |
  4. | 11901 2018w7 |
  5. | 8879 2018w8 |
   |-----------------|
  6. | 9005 2018w9 |
  7. | 7178 2018w10 |
  8. | 7340 2018w11 |
  9. | 7138 2018w12 |
10. | 6392 2018w13 |
   |-----------------|
11. | 6542 2018w14 |
12. | 5946 2018w15 |
13. | 4449 2018w16 |
14. | 4820 2018w17 |
15. | 5043 2018w18 |
   |-----------------|
16. | 4685 2018w19 |
17. | 4431 2018w20 |
18. | 3903 2018w21 |
19. | 4248 2018w22 |
20. | 4473 2018w23 |
   |-----------------|
21. | 3953 2018w24 |
22. | 4574 2018w25 |
23. | 4684 2018w26 |
24. | 4367 2018w27 |
25. | 4109 2018w28 |
   |-----------------|
26. | 4277 2018w29 |
27. | 3809 2018w30 |
28. | 3489 2018w31 |
29. | 4199 2018w32 |
30. | 3767 2018w33 |
   |-----------------|
31. | 3763 2018w34 |
32. | 3186 2018w35 |
33. | 3536 2018w36 |
34. | 3586 2018w37 |
35. | 9587 2018w38 |
   |-----------------|
36. | 4508 2018w39 |
37. | 4325 2018w40 |
38. | 3981 2018w41 |
39. | 4424 2018w42 |
40. | 4386 2018w43 |
   |-----------------|
41. | 3321 2018w44 |
42. | 4175 2018w45 |
43. | 4047 2018w46 |
44. | 4606 2018w47 |
45. | 3791 2018w48 |
   |-----------------|
46. | 3596 2018w49 |
47. | 3689 2018w50 |
48. | 3615 2018w51 |
49. | 3687 2018w52 |
50. | 4584 2019w1 |
   |-----------------|
51. | 6102 2019w2 |
52. | 5776 2019w3 |
53. | 4582 2019w4 |
54. | 4408 2019w5 |
55. | 4505 2019w6 |
   |-----------------|
56. | 4259 2019w7 |
57. | 4314 2019w8 |
58. | 4726 2019w9 |
59. | 4979 2019w10 |
60. | 4295 2019w11 |
   |-----------------|
61. | 4690 2019w12 |
62. | 5728 2019w13 |
63. | 4695 2019w14 |
64. | 5253 2019w15 |
65. | 4880 2019w16 |
   |-----------------|
66. | 4260 2019w17 |
67. | 4817 2019w18 |
68. | 5002 2019w19 |
69. | 5596 2019w20 |
70. | 4693 2019w21 |
   |-----------------|
71. | 4342 2019w22 |
72. | 4597 2019w23 |
73. | 5373 2019w24 |
74. | 4629 2019w25 |
75. | 4672 2019w26 |
   |-----------------|
76. | 3882 2019w27 |
77. | 4462 2019w28 |
78. | 4005 2019w29 |
79. | 4377 2019w30 |
80. | 3603 2019w31 |
   |-----------------|
81. | 3346 2019w32 |
82. | 3965 2019w33 |
83. | 3811 2019w34 |
84. | 3579 2019w35 |
85. | 3683 2019w36 |
   |-----------------|
86. | 4005 2019w37 |
87. | 4382 2019w38 |
88. | 4348 2019w39 |
89. | 4209 2019w40 |
90. | 4701 2019w41 |
   |-----------------|
91. | 5160 2019w42 |
92. | 5375 2019w43 |
93. | 4816 2019w44 |
94. | 4753 2019w45 |
95. | 11070 2019w46 |
   |-----------------|
96. | 20397 2019w47 |
97. | 6271 2019w48 |
98. | 4650 2019w49 |
99. | 4832 2019w50 |
100. | 6066 2019w51 |
   |-----------------|
101. | 7058 2019w52 |
102. | 5745 2020w1 |
103. | 5395 2020w2 |
104. | 7247 2020w3 |
105. | 6646 2020w4 |
   |-----------------|
106. | 6756 2020w5 |
107. | 5573 2020w6 |
108. | 6923 2020w7 |
109. | 6314 2020w8 |
110. | 5237 2020w9 |
   |-----------------|
111. | 4622 2020w10 |
112. | 5109 2020w11 |
113. | 5603 2020w12 |
114. | 5392 2020w13 |
115. | 6061 2020w14 |
   |-----------------|
116. | 5094 2020w15 |
   +-----------------+

Time series plot

Basic statistics:
- 50% of observed weeks (116 weeks) have total intra-week merits above 4640, whilst the rest 50% of them have total intra-week merits below 4640. 4640 is the median - p50.
- 50% of observed weeks have total intra-week merits fluctuated in the range from 4204 to 5600 (the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 3186 - 27920.

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 116.0 5556.7 3368.9 4639.5 4204.0 5599.5 3186.0 27920.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 5599.5-4204
1395.5

. di 1395.5*1.5
2093.25

. di 5599.5+2093.25
7692.75

. di 4204-2093.25
2110.75

It means that potential outliers are weeks that have intra-week merits beyond 2111 or 7693.
How many weeks are potential outliers?

Code:

. count if (merit >= 7693 | merit < 2111) & merit != .
9

9 weeks are outliers, in total.
List of those 9 weeks:

Code:

+-----------------+
   | merit week |
   |-----------------|
  1. | 27920 2018w4 |
  2. | 20930 2018w5 |
  3. | 14042 2018w6 |
  4. | 11901 2018w7 |
  5. | 8879 2018w8 |
   |-----------------|
  6. | 9005 2018w9 |
35. | 9587 2018w38 |
95. | 11070 2019w46 |
96. | 20397 2019w47 |
   +-----------------+

Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far.

List of weeks in descending weekly merits
The last week (with 5094 merits) stays at the 40^th position, among 116 weeks.

Code:

+------------------------------+
   | weeklyrank merit week |
   |------------------------------|
  1. | 1 27920 2018w4 |
  2. | 2 20930 2018w5 |
  3. | 3 20397 2019w47 |
  4. | 4 14042 2018w6 |
  5. | 5 11901 2018w7 |
   |------------------------------|
  6. | 6 11070 2019w46 |
  7. | 7 9587 2018w38 |
  8. | 8 9005 2018w9 |
  9. | 9 8879 2018w8 |
10. | 10 7340 2018w11 |
   |------------------------------|
11. | 11 7247 2020w3 |
12. | 12 7178 2018w10 |
13. | 13 7138 2018w12 |
14. | 14 7058 2019w52 |
15. | 15 6923 2020w7 |
   |------------------------------|
16. | 16 6756 2020w5 |
17. | 17 6646 2020w4 |
18. | 18 6542 2018w14 |
19. | 19 6392 2018w13 |
20. | 20 6314 2020w8 |
   |------------------------------|
21. | 21 6271 2019w48 |
22. | 22 6102 2019w2 |
23. | 23 6066 2019w51 |
24. | 24 6061 2020w14 |
25. | 25 5946 2018w15 |
   |------------------------------|
26. | 26 5776 2019w3 |
27. | 27 5745 2020w1 |
28. | 28 5728 2019w13 |
29. | 29 5603 2020w12 |
30. | 30 5596 2019w20 |
   |------------------------------|
31. | 31 5573 2020w6 |
32. | 32 5395 2020w2 |
33. | 33 5392 2020w13 |
34. | 34 5375 2019w43 |
35. | 35 5373 2019w24 |
   |------------------------------|
36. | 36 5253 2019w15 |
37. | 37 5237 2020w9 |
38. | 38 5160 2019w42 |
39. | 39 5109 2020w11 |
40. | 40 5094 2020w15 |
   |------------------------------|
41. | 41 5043 2018w18 |
42. | 42 5002 2019w19 |
43. | 43 4979 2019w10 |
44. | 44 4880 2019w16 |
45. | 45 4832 2019w50 |
   |------------------------------|
46. | 46 4820 2018w17 |
47. | 47 4817 2019w18 |
48. | 48 4816 2019w44 |
49. | 49 4753 2019w45 |
50. | 50 4726 2019w9 |
   |------------------------------|
51. | 51 4701 2019w41 |
52. | 52 4695 2019w14 |
53. | 53 4693 2019w21 |
54. | 54 4690 2019w12 |
55. | 55 4685 2018w19 |
   |------------------------------|
56. | 56 4684 2018w26 |
57. | 57 4672 2019w26 |
58. | 58 4650 2019w49 |
59. | 59 4629 2019w25 |
60. | 60 4622 2020w10 |
   |------------------------------|
61. | 61 4606 2018w47 |
62. | 62 4597 2019w23 |
63. | 63 4584 2019w1 |
64. | 64 4582 2019w4 |
65. | 65 4574 2018w25 |
   |------------------------------|
66. | 66 4508 2018w39 |
67. | 67 4505 2019w6 |
68. | 68 4473 2018w23 |
69. | 69 4462 2019w28 |
70. | 70 4449 2018w16 |
   |------------------------------|
71. | 71 4431 2018w20 |
72. | 72 4424 2018w42 |
73. | 73 4408 2019w5 |
74. | 74 4386 2018w43 |
75. | 75 4382 2019w38 |
   |------------------------------|
76. | 76 4377 2019w30 |
77. | 77 4367 2018w27 |
78. | 78 4348 2019w39 |
79. | 79 4342 2019w22 |
80. | 80 4325 2018w40 |
   |------------------------------|
81. | 81 4314 2019w8 |
82. | 82 4295 2019w11 |
83. | 83 4277 2018w29 |
84. | 84 4260 2019w17 |
85. | 85 4259 2019w7 |
   |------------------------------|
86. | 86 4248 2018w22 |
87. | 87 4209 2019w40 |
88. | 88 4199 2018w32 |
89. | 89 4175 2018w45 |
90. | 90 4109 2018w28 |
   |------------------------------|
91. | 91 4047 2018w46 |
92. | 92 4005 2019w29 |
93. | 93 4005 2019w37 |
94. | 94 3981 2018w41 |
95. | 95 3965 2019w33 |
   |------------------------------|
96. | 96 3953 2018w24 |
97. | 97 3903 2018w21 |
98. | 98 3882 2019w27 |
99. | 99 3811 2019w34 |
100. | 100 3809 2018w30 |
   |------------------------------|
101. | 101 3791 2018w48 |
102. | 102 3767 2018w33 |
103. | 103 3763 2018w34 |
104. | 104 3689 2018w50 |
105. | 105 3687 2018w52 |
   |------------------------------|
106. | 106 3683 2019w36 |
107. | 107 3615 2018w51 |
108. | 108 3603 2019w31 |
109. | 109 3596 2018w49 |
110. | 110 3586 2018w37 |
   |------------------------------|
111. | 111 3579 2019w35 |
112. | 112 3536 2018w36 |
113. | 113 3489 2018w31 |
114. | 114 3346 2019w32 |
115. | 115 3321 2018w44 |
   |------------------------------|
116. | 116 3186 2018w35 |
   +------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Medians and means of intra-day merits over days of weeks ^{GMT time}
Colors:

Green: highest.
Red: Lowest.

- In median, the highest days are Thursday , Tuesday, and Friday at 706, 706, and 703, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 607, 622, and 662, respectively.
- In means, the highest days are Thursday, Friday, and Tuesday at 914, 855, and 817, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 694, 709, and 782, respectively.

Basic statistics:

Code:

Summary for variables: merit
   by categories of: dofw

   dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   Sunday | 116 693.3966 358.6895 621.5 499 743 300 3240
   Monday | 116 781.8879 441.5924 662 560 867.5 370 3343
  Tuesday | 116 816.569 481.3555 706 594.5 878.5 339 3826
Wednesday | 116 787.6897 439.5323 672.5 601 837.5 347 4103
Thursday | 116 914.069 1221.02 706 585 841 411 12676
   Friday | 116 854.2414 760.1737 703 565 847.5 373 6348
Saturday | 116 708.8879 470.3536 606.5 506 732.5 375 4627
----------+--------------------------------------------------------------------------------
   Total | 812 793.8202 660.3258 667.5 558 824.5 300 12676
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.

Details on ranks:
In medians

Code:

+--------------------------------------------------------------------------+
   | rankmedian dofw median mean p25 p75 min max |
   |--------------------------------------------------------------------------|
  1. | 1 Thursday 706 914.069 585 841 411 12676 |
  2. | 2 Tuesday 706 816.569 594.5 878.5 339 3826 |
  3. | 3 Friday 703 854.2414 565 847.5 373 6348 |
  4. | 4 Wednesday 672.5 787.6896 601 837.5 347 4103 |
  5. | 5 Monday 662 781.8879 560 867.5 370 3343 |
   |--------------------------------------------------------------------------|
  6. | 6 Sunday 621.5 693.3965 499 743 300 3240 |
  7. | 7 Saturday 606.5 708.8879 506 732.5 375 4627 |
   +--------------------------------------------------------------------------+

In means

Code:

+------------------------------------------------------------------------+
   | rankmean dofw mean median p25 p75 min max |
   |------------------------------------------------------------------------|
  1. | 1 Thursday 914.069 706 585 841 411 12676 |
  2. | 2 Friday 854.2414 703 565 847.5 373 6348 |
  3. | 3 Tuesday 816.569 706 594.5 878.5 339 3826 |
  4. | 4 Wednesday 787.6896 672.5 601 837.5 347 4103 |
  5. | 5 Monday 781.8879 662 560 867.5 370 3343 |
   |------------------------------------------------------------------------|
  6. | 6 Saturday 708.8879 606.5 506 732.5 375 4627 |
  7. | 7 Sunday 693.3965 621.5 499 743 300 3240 |
   +------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

During the period from 24/1/2018 to 14/4/2020 (last 3 days dropped due to incomplete week, 2020w16 and an incomplete day - dayid = 815), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively.

List of the top 50-highest day in terms of intra-day merits:

Code:

+-----------------------------------------------------------------------------+
| rank_max merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 |
2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 |
3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 |
4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 |
5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 |
7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 |
8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 |
9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 |
10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 |
12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 |
13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 |
14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 |
15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 |
17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 |
18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 |
19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 |
20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 |
22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 |
23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 |
24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 |
25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 |
27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 |
28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 |
29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 |
30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 |
32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 |
33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 |
34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 |
35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 |
|-----------------------------------------------------------------------------|
36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 |
37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 |
38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 |
39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 |
40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 |
|-----------------------------------------------------------------------------|
41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 |
42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 |
43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 |
44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 |
45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 |
47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 |
48. | 48 1289 27 19feb2018 Monday 2018w8 2018m2 2018 |
49. | 49 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 |
50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 |
+-----------------------------------------------------------------------------+

List of the top 50-lowest days in terms of intra-day merits:

Code:

+-----------------------------------------------------------------------------+
| rank_min merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 |
2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 |
3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 |
4. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 |
5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 |
|-----------------------------------------------------------------------------|
6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 |
7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 |
8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 |
9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 |
10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 |
|-----------------------------------------------------------------------------|
11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 |
12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 |
13. | 13 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
14. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
15. | 15 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
|-----------------------------------------------------------------------------|
16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 |
17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 |
18. | 18 385 215 26aug2018 Sunday 2018w34 2018m8 2018 |
19. | 19 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 |
|-----------------------------------------------------------------------------|
21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 |
22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
23. | 23 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
24. | 24 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
|-----------------------------------------------------------------------------|
26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
29. | 29 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
|-----------------------------------------------------------------------------|
31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
32. | 32 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
33. | 33 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
|-----------------------------------------------------------------------------|
36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
|-----------------------------------------------------------------------------|
41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
44. | 44 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
45. | 45 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
|-----------------------------------------------------------------------------|
46. | 46 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
49. | 49 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
50. | 50 442 342 31dec2018 Monday 2018w52 2018m12 2018 |
+-----------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Time-series plots:
Full dataset:

Truncated dataset:

Basic statistics (for full dataset):
Only drop last 3 days that belong to the 2020w16 (daydi = 813, 814), the incomplete week & incomlete day (dayid = 815).

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 812 793.8202 660.3258 667.5 558 824.5 300 12676
----------------------------------------------------------------------------------------------

Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 159 or 1225.

Code:

. di 824.5-558
266.5

. di 266.5*1.5
399.75

. di 824.5+399.75
1224.25

. di 558-399.75
158.25

There are 53 outliers (beyond 1225 or 159) in full dataset, in total.

Code:

. count if (merit >= 1225 | merit <= 159) & merit != .
53

Those days are:

Code:

+---------------------------+
   | dayid merit date |
   |---------------------------|
  2. | 2 12676 25jan2018 |
  3. | 3 6348 26jan2018 |
  4. | 4 4627 27jan2018 |
  5. | 5 3240 28jan2018 |
  6. | 6 3343 29jan2018 |
  7. | 7 3804 30jan2018 |
  8. | 8 4103 31jan2018 |
  9. | 9 2793 01feb2018 |
10. | 10 2621 02feb2018 |
11. | 11 2476 03feb2018 |
12. | 12 1790 04feb2018 |
13. | 13 2263 05feb2018 |
14. | 14 2003 06feb2018 |
15. | 15 2367 07feb2018 |
16. | 16 2059 08feb2018 |
17. | 17 2223 09feb2018 |
18. | 18 1334 10feb2018 |
19. | 19 1793 11feb2018 |
20. | 20 1475 12feb2018 |
21. | 21 1289 13feb2018 |
22. | 22 1580 14feb2018 |
23. | 23 2797 15feb2018 |
24. | 24 1740 16feb2018 |
25. | 25 1431 17feb2018 |
26. | 26 1589 18feb2018 |
27. | 27 1289 19feb2018 |
28. | 28 1442 20feb2018 |
30. | 30 1277 22feb2018 |
31. | 31 1249 23feb2018 |
33. | 33 1372 25feb2018 |
35. | 35 1414 27feb2018 |
36. | 36 1302 28feb2018 |
38. | 38 1345 02mar2018 |
39. | 39 1727 03mar2018 |
49. | 49 1316 13mar2018 |
57. | 57 1390 21mar2018 |
237. | 237 2553 17sep2018 |
238. | 238 1807 18sep2018 |
239. | 239 1347 19sep2018 |
   |---------------------------|
429. | 429 1247 28mar2019 |
505. | 505 1227 12jun2019 |
660. | 660 1630 14nov2019 |
661. | 661 2374 15nov2019 |
662. | 662 1585 16nov2019 |
663. | 663 1377 17nov2019 |
664. | 664 2783 18nov2019 |
665. | 665 3826 19nov2019 |
666. | 666 2584 20nov2019 |
667. | 667 4889 21nov2019 |
668. | 668 5515 22nov2019 |
669. | 669 1590 23nov2019 |
678. | 678 1465 02dec2019 |
   |---------------------------|
755. | 755 1364 17feb2020 |
   +---------------------------+

Distributions of outliers over years:

2018: 39 (73.6%)
2019: 13 (24.5%)
2020: 1 (1.9%)

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Converted dataset:

In 2020 ^{at 17apr2020 02:49:29 (GMT time)}
The last one, with dayid = 815 is an incomplete day.

Code:

+-----------------------------------------------------------------+
| dayid date merit dofw week month year |
|-----------------------------------------------------------------|
708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 |
709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 |
710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 |
711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 |
712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 |
|-----------------------------------------------------------------|
713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 |
714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 |
715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 |
716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 |
717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 |
|-----------------------------------------------------------------|
718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 |
719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 |
720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 |
721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 |
722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 |
724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 |
725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 |
726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 |
727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 |
729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 |
730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 |
731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 |
732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 |
|-----------------------------------------------------------------|
733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 |
734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 |
735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 |
736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 |
737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 |
|-----------------------------------------------------------------|
738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 |
739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 |
740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 |
741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 |
742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 |
|-----------------------------------------------------------------|
743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 |
744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 |
745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 |
746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 |
747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 |
|-----------------------------------------------------------------|
748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 |
749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 |
750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 |
751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 |
752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 |
|-----------------------------------------------------------------|
753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 |
754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 |
755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 |
756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 |
757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 |
759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 |
760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 |
761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 |
762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 |
764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 |
765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 |
766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 |
767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 |
|-----------------------------------------------------------------|
768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 |
769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 |
770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 |
771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 |
772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 |
774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 |
775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 |
776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 |
777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 |
779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 |
780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 |
781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 |
782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 |
|-----------------------------------------------------------------|
783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 |
784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 |
785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 |
786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 |
787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 |
|-----------------------------------------------------------------|
788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 |
789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 |
790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 |
791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 |
792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 |
794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 |
795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 |
796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 |
797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 |
799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 |
800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 |
801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 |
802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 |
|-----------------------------------------------------------------|
803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 |
804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 |
805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 |
806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 |
807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 |
809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 |
810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 |
811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 |
812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 |
814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 |
815. | 815 17apr2020 62 Friday 2020w16 2020m4 2020 |
+-----------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

ABSTRACT ^{2020w14, GMT time}
Data is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w15 and an incomplete day (dayid = 808). Details on days dropped, please see above posts.

Intra-day merits:

Total observed days: 805
Potential outliers are days that have intraday total merits beyond 157 or 1225
Median of intraday merits over the period is 667
50% of observed days have their intra-day merits range from 557 to 824 (the interquartile range)
In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
There are 53 potential outliers (beyond 157 or 1225) in total.
The distribution of outliers over years are: 39 (73.6%) for 2018, 13 (24.5%) for 2019, and 1 (1.9%) for 2020. (see details)
Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.

Intra-week merits:

Total observed weeks: 115
The median of intra-week merits is 4629
50% of observed weeks (115 weeks in total), have total merits in the range from 4199 to 5603 (the interquartile range of intra-week merits).
Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
9 potential outliers [beyond 2093 or 7709], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Intra-week merits (from 24/1/2018 to 07/4/2020)
Last 3 days dropped due to incomplete week (2020w15) and an incomplete day (dayid = 808)

Converted dataset:

Code:

+-----------------+
   | merit week |
   |-----------------|
  1. | 27920 2018w4 |
  2. | 20930 2018w5 |
  3. | 14042 2018w6 |
  4. | 11901 2018w7 |
  5. | 8879 2018w8 |
   |-----------------|
  6. | 9005 2018w9 |
  7. | 7178 2018w10 |
  8. | 7340 2018w11 |
  9. | 7138 2018w12 |
10. | 6392 2018w13 |
   |-----------------|
11. | 6542 2018w14 |
12. | 5946 2018w15 |
13. | 4449 2018w16 |
14. | 4820 2018w17 |
15. | 5043 2018w18 |
   |-----------------|
16. | 4685 2018w19 |
17. | 4431 2018w20 |
18. | 3903 2018w21 |
19. | 4248 2018w22 |
20. | 4473 2018w23 |
   |-----------------|
21. | 3953 2018w24 |
22. | 4574 2018w25 |
23. | 4684 2018w26 |
24. | 4367 2018w27 |
25. | 4109 2018w28 |
   |-----------------|
26. | 4277 2018w29 |
27. | 3809 2018w30 |
28. | 3489 2018w31 |
29. | 4199 2018w32 |
30. | 3767 2018w33 |
   |-----------------|
31. | 3763 2018w34 |
32. | 3186 2018w35 |
33. | 3536 2018w36 |
34. | 3586 2018w37 |
35. | 9587 2018w38 |
   |-----------------|
36. | 4508 2018w39 |
37. | 4325 2018w40 |
38. | 3981 2018w41 |
39. | 4424 2018w42 |
40. | 4386 2018w43 |
   |-----------------|
41. | 3321 2018w44 |
42. | 4175 2018w45 |
43. | 4047 2018w46 |
44. | 4606 2018w47 |
45. | 3791 2018w48 |
   |-----------------|
46. | 3596 2018w49 |
47. | 3689 2018w50 |
48. | 3615 2018w51 |
49. | 3687 2018w52 |
50. | 4584 2019w1 |
   |-----------------|
51. | 6102 2019w2 |
52. | 5776 2019w3 |
53. | 4582 2019w4 |
54. | 4408 2019w5 |
55. | 4505 2019w6 |
   |-----------------|
56. | 4259 2019w7 |
57. | 4314 2019w8 |
58. | 4726 2019w9 |
59. | 4979 2019w10 |
60. | 4295 2019w11 |
   |-----------------|
61. | 4690 2019w12 |
62. | 5728 2019w13 |
63. | 4695 2019w14 |
64. | 5253 2019w15 |
65. | 4880 2019w16 |
   |-----------------|
66. | 4260 2019w17 |
67. | 4817 2019w18 |
68. | 5002 2019w19 |
69. | 5596 2019w20 |
70. | 4693 2019w21 |
   |-----------------|
71. | 4342 2019w22 |
72. | 4597 2019w23 |
73. | 5373 2019w24 |
74. | 4629 2019w25 |
75. | 4672 2019w26 |
   |-----------------|
76. | 3882 2019w27 |
77. | 4462 2019w28 |
78. | 4005 2019w29 |
79. | 4377 2019w30 |
80. | 3603 2019w31 |
   |-----------------|
81. | 3346 2019w32 |
82. | 3965 2019w33 |
83. | 3811 2019w34 |
84. | 3579 2019w35 |
85. | 3683 2019w36 |
   |-----------------|
86. | 4005 2019w37 |
87. | 4382 2019w38 |
88. | 4348 2019w39 |
89. | 4209 2019w40 |
90. | 4701 2019w41 |
   |-----------------|
91. | 5160 2019w42 |
92. | 5375 2019w43 |
93. | 4816 2019w44 |
94. | 4753 2019w45 |
95. | 11070 2019w46 |
   |-----------------|
96. | 20397 2019w47 |
97. | 6271 2019w48 |
98. | 4650 2019w49 |
99. | 4832 2019w50 |
100. | 6066 2019w51 |
   |-----------------|
101. | 7058 2019w52 |
102. | 5745 2020w1 |
103. | 5395 2020w2 |
104. | 7247 2020w3 |
105. | 6646 2020w4 |
   |-----------------|
106. | 6756 2020w5 |
107. | 5573 2020w6 |
108. | 6923 2020w7 |
109. | 6314 2020w8 |
110. | 5237 2020w9 |
   |-----------------|
111. | 4622 2020w10 |
112. | 5109 2020w11 |
113. | 5603 2020w12 |
114. | 5392 2020w13 |
115. | 6061 2020w14 |
   +-----------------+

Time series plot
Plot will be updated later.

Basic statistics:
- 50% of observed weeks (115 weeks) have total intra-week merits above 4629, whilst the rest 50% of them have total intra-week merits below 4629. 4629 is the median - p50.
- 50% of observed weeks have total intra-week merits fluctuated in the range from 4199 to 5603 (the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 3186 - 27920.

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 115.0 5560.8 3383.3 4629.0 4199.0 5603.0 3186.0 27920.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 5603-4199
1404

. di 1404*1.5
2106

. di 5603+2106
7709

. di 4199-2106
2093

It means that potential outliers are weeks that have intra-week merits beyond 2093 or 7709.
How many weeks are potential outliers?

Code:

. count if (merit >= 7709 | merit < 2093) & merit != .
9

9 weeks are outliers, in total.
List of those 9 weeks:

Code:

+-----------------+
   | merit week |
   |-----------------|
  1. | 27920 2018w4 |
  2. | 20930 2018w5 |
  3. | 14042 2018w6 |
  4. | 11901 2018w7 |
  5. | 8879 2018w8 |
   |-----------------|
  6. | 9005 2018w9 |
35. | 9587 2018w38 |
95. | 11070 2019w46 |
96. | 20397 2019w47 |
   +-----------------+

Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397).

List of weeks in descending weekly merits
The last week (with 6061 merits) stays at the 24^th position, among 115 weeks.

Code:

+------------------------------+
   | weeklyrank merit week |
   |------------------------------|
  1. | 1 27920 2018w4 |
  2. | 2 20930 2018w5 |
  3. | 3 20397 2019w47 |
  4. | 4 14042 2018w6 |
  5. | 5 11901 2018w7 |
   |------------------------------|
  6. | 6 11070 2019w46 |
  7. | 7 9587 2018w38 |
  8. | 8 9005 2018w9 |
  9. | 9 8879 2018w8 |
10. | 10 7340 2018w11 |
   |------------------------------|
11. | 11 7247 2020w3 |
12. | 12 7178 2018w10 |
13. | 13 7138 2018w12 |
14. | 14 7058 2019w52 |
15. | 15 6923 2020w7 |
   |------------------------------|
16. | 16 6756 2020w5 |
17. | 17 6646 2020w4 |
18. | 18 6542 2018w14 |
19. | 19 6392 2018w13 |
20. | 20 6314 2020w8 |
   |------------------------------|
21. | 21 6271 2019w48 |
22. | 22 6102 2019w2 |
23. | 23 6066 2019w51 |
24. | 24 6061 2020w14 |
25. | 25 5946 2018w15 |
   |------------------------------|
26. | 26 5776 2019w3 |
27. | 27 5745 2020w1 |
28. | 28 5728 2019w13 |
29. | 29 5603 2020w12 |
30. | 30 5596 2019w20 |
   |------------------------------|
31. | 31 5573 2020w6 |
32. | 32 5395 2020w2 |
33. | 33 5392 2020w13 |
34. | 34 5375 2019w43 |
35. | 35 5373 2019w24 |
   |------------------------------|
36. | 36 5253 2019w15 |
37. | 37 5237 2020w9 |
38. | 38 5160 2019w42 |
39. | 39 5109 2020w11 |
40. | 40 5043 2018w18 |
   |------------------------------|
41. | 41 5002 2019w19 |
42. | 42 4979 2019w10 |
43. | 43 4880 2019w16 |
44. | 44 4832 2019w50 |
45. | 45 4820 2018w17 |
   |------------------------------|
46. | 46 4817 2019w18 |
47. | 47 4816 2019w44 |
48. | 48 4753 2019w45 |
49. | 49 4726 2019w9 |
50. | 50 4701 2019w41 |
   |------------------------------|
51. | 51 4695 2019w14 |
52. | 52 4693 2019w21 |
53. | 53 4690 2019w12 |
54. | 54 4685 2018w19 |
55. | 55 4684 2018w26 |
   |------------------------------|
56. | 56 4672 2019w26 |
57. | 57 4650 2019w49 |
58. | 58 4629 2019w25 |
59. | 59 4622 2020w10 |
60. | 60 4606 2018w47 |
   |------------------------------|
61. | 61 4597 2019w23 |
62. | 62 4584 2019w1 |
63. | 63 4582 2019w4 |
64. | 64 4574 2018w25 |
65. | 65 4508 2018w39 |
   |------------------------------|
66. | 66 4505 2019w6 |
67. | 67 4473 2018w23 |
68. | 68 4462 2019w28 |
69. | 69 4449 2018w16 |
70. | 70 4431 2018w20 |
   |------------------------------|
71. | 71 4424 2018w42 |
72. | 72 4408 2019w5 |
73. | 73 4386 2018w43 |
74. | 74 4382 2019w38 |
75. | 75 4377 2019w30 |
   |------------------------------|
76. | 76 4367 2018w27 |
77. | 77 4348 2019w39 |
78. | 78 4342 2019w22 |
79. | 79 4325 2018w40 |
80. | 80 4314 2019w8 |
   |------------------------------|
81. | 81 4295 2019w11 |
82. | 82 4277 2018w29 |
83. | 83 4260 2019w17 |
84. | 84 4259 2019w7 |
85. | 85 4248 2018w22 |
   |------------------------------|
86. | 86 4209 2019w40 |
87. | 87 4199 2018w32 |
88. | 88 4175 2018w45 |
89. | 89 4109 2018w28 |
90. | 90 4047 2018w46 |
   |------------------------------|
91. | 91 4005 2019w37 |
92. | 92 4005 2019w29 |
93. | 93 3981 2018w41 |
94. | 94 3965 2019w33 |
95. | 95 3953 2018w24 |
   |------------------------------|
96. | 96 3903 2018w21 |
97. | 97 3882 2019w27 |
98. | 98 3811 2019w34 |
99. | 99 3809 2018w30 |
100. | 100 3791 2018w48 |
   |------------------------------|
101. | 101 3767 2018w33 |
102. | 102 3763 2018w34 |
103. | 103 3689 2018w50 |
104. | 104 3687 2018w52 |
105. | 105 3683 2019w36 |
   |------------------------------|
106. | 106 3615 2018w51 |
107. | 107 3603 2019w31 |
108. | 108 3596 2018w49 |
109. | 109 3586 2018w37 |
110. | 110 3579 2019w35 |
   |------------------------------|
111. | 111 3536 2018w36 |
112. | 112 3489 2018w31 |
113. | 113 3346 2019w32 |
114. | 114 3321 2018w44 |
115. | 115 3186 2018w35 |
   +------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Medians and means of intra-day merits over days of weeks ^{GMT time}
Colors:

Green: highest.
Red: Lowest.

- In median, the highest days are Thursday , Tuesday, and Friday at 708, 705, and 702, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 605, 616, and 662, respectively.
- In means, the highest days are Thursday, Friday, and Tuesday at 916, 855, and 816, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 694, 710, and 784, respectively.

Basic statistics:

Code:

Summary for variables: merit
   by categories of: dofw

   dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   Sunday | 115.0 693.7 360.2 616.0 495.0 747.0 300.0 3240.0
   Monday | 115.0 783.5 443.2 662.0 558.0 876.0 370.0 3343.0
  Tuesday | 115.0 815.8 483.4 705.0 594.0 871.0 339.0 3826.0
Wednesday | 115.0 786.9 441.4 672.0 599.0 837.0 347.0 4103.0
Thursday | 115.0 916.0 1226.2 708.0 584.0 845.0 411.0 12676.0
   Friday | 115.0 855.1 763.4 702.0 564.0 858.0 373.0 6348.0
Saturday | 115.0 709.7 472.3 605.0 503.0 736.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
   Total | 805.0 794.4 663.1 667.0 557.0 824.0 300.0 12676.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.

]

Details on ranks:
In medians

Code:

+----------------------------------------------------------------------+
   | rankmedian dofw median mean p25 p75 min max |
   |----------------------------------------------------------------------|
  1. | 1 Thursday 708 916.0435 584 845 411 12676 |
  2. | 2 Tuesday 705 815.7826 594 871 339 3826 |
  3. | 3 Friday 702 855.0782 564 858 373 6348 |
  4. | 4 Wednesday 672 786.9304 599 837 347 4103 |
  5. | 5 Monday 662 783.5391 558 876 370 3343 |
   |----------------------------------------------------------------------|
  6. | 6 Sunday 616 693.687 495 747 300 3240 |
  7. | 7 Saturday 605 709.7043 503 736 375 4627 |
   +----------------------------------------------------------------------+

In means

Code:

+--------------------------------------------------------------------+
   | rankmean dofw mean median p25 p75 min max |
   |--------------------------------------------------------------------|
  1. | 1 Thursday 916.0435 708 584 845 411 12676 |
  2. | 2 Friday 855.0782 702 564 858 373 6348 |
  3. | 3 Tuesday 815.7826 705 594 871 339 3826 |
  4. | 4 Wednesday 786.9304 672 599 837 347 4103 |
  5. | 5 Monday 783.5391 662 558 876 370 3343 |
   |--------------------------------------------------------------------|
  6. | 6 Saturday 709.7043 605 503 736 375 4627 |
  7. | 7 Sunday 693.687 616 495 747 300 3240 |
   +--------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

During the period from 24/1/2018 to 07/4/2020 (last 3 days dropped due to incomplete week, 2020w15 and an incomplete day - dayid = 808), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively.

List of the top 50-highest day in terms of intra-day merits:

Code:

+-----------------------------------------------------------------------------+
| rank_max merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 |
2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 |
3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 |
4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 |
5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 |
7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 |
8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 |
9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 |
10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 |
12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 |
13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 |
14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 |
15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 |
17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 |
18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 |
19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 |
20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 |
22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 |
23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 |
24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 |
25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 |
27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 |
28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 |
29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 |
30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 |
32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 |
33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 |
34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 |
35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 |
|-----------------------------------------------------------------------------|
36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 |
37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 |
38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 |
39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 |
40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 |
|-----------------------------------------------------------------------------|
41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 |
42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 |
43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 |
44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 |
45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 |
47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 |
48. | 48 1289 27 19feb2018 Monday 2018w8 2018m2 2018 |
49. | 49 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 |
50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 |
+-----------------------------------------------------------------------------+

List of the top 50-lowest days in terms of intra-day merits:

Code:

+-----------------------------------------------------------------------------+
| rank_min merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 |
2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 |
3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 |
4. | 4 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 |
5. | 5 347 299 18nov2018 Sunday 2018w46 2018m11 2018 |
|-----------------------------------------------------------------------------|
6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 |
7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 |
8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 |
9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 |
10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 |
|-----------------------------------------------------------------------------|
11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 |
12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 |
13. | 13 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
14. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
15. | 15 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
|-----------------------------------------------------------------------------|
16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 |
17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 |
18. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 |
19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 2018 |
20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 |
|-----------------------------------------------------------------------------|
21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 |
22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
23. | 23 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
|-----------------------------------------------------------------------------|
26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
29. | 29 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
|-----------------------------------------------------------------------------|
31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
32. | 32 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
33. | 33 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
|-----------------------------------------------------------------------------|
36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
|-----------------------------------------------------------------------------|
41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
44. | 44 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
45. | 45 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
|-----------------------------------------------------------------------------|
46. | 46 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
49. | 49 442 342 31dec2018 Monday 2018w52 2018m12 2018 |
50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
+-----------------------------------------------------------------------------+

Topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) - page 8. (Read 29484 times)